Note Of Singular Value Decomposition (SVD)
Last Updated on 2024-08-11 by Clay
Singular Value Decomposition (SVD) is a method for decomposing a matrix into three matrices, revealing the rank, data dimensions, and key directions of the original matrix. It is often used in dimensionality reduction, compression, and structural analysis.
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